[PDF][PDF] A state-of-the-art overview and future research avenues of self-service business intelligence and analytics
Abstract Self-Service Business Intelligence and Analytics (SSBIA) is an upcoming approach
and trend that enables casual business users to prepare and analyze data with easy-to-use …
and trend that enables casual business users to prepare and analyze data with easy-to-use …
Data is the new oil–sort of: a view on why this comparison is misleading and its implications for modern data administration
C Stach - Future Internet, 2023 - mdpi.com
Currently, data are often referred to as the oil of the 21st century. This comparison is not only
used to express that the resource data are just as important for the fourth industrial …
used to express that the resource data are just as important for the fourth industrial …
Demand-driven data Provisioning in data lakes: BARENTS—A tailorable data preparation zone
Data has never been as significant as it is today. It can be acquired virtually at will on any
subject. Yet, this poses new challenges towards data management, especially in terms of …
subject. Yet, this poses new challenges towards data management, especially in terms of …
A model for types and levels of automation in visual analytics: a survey, a taxonomy, and examples
The continuous growth in availability and access to data presents a major challenge to the
human analyst. As the manual analysis of large and complex datasets is nowadays …
human analyst. As the manual analysis of large and complex datasets is nowadays …
SMARTEN—A Sample-Based Approach towards Privacy-Friendly Data Refinement
Two factors are crucial for the effective operation of modern-day smart services: Initially, IoT-
enabled technologies have to capture and combine huge amounts of data on data subjects …
enabled technologies have to capture and combine huge amounts of data on data subjects …
Interactive data mashups for user-centric data analysis
M Behringer, P Hirmer - … of the 35th International Conference on …, 2023 - dl.acm.org
Nowadays, the amount of data is growing rapidly. Through data mining and analysis,
information and knowledge can be derived based on this growing volume of data. Different …
information and knowledge can be derived based on this growing volume of data. Different …
DATA-IMP: An Interactive Approach to Specify Data Imputation Transformations on Large Datasets
In recent years, the volume of data to be analyzed has increased tremendously. However,
purposeful data analyses on large-scale data require in-depth domain knowledge. A …
purposeful data analyses on large-scale data require in-depth domain knowledge. A …
[PDF][PDF] Increasing Explainability of Clustering Results for Domain Experts by Identifying Meaningful Features.
Today, the amount of data is growing rapidly, which makes it nearly impossible for human
analysts to comprehend the data or to extract any knowledge from it. To cope with this, as …
analysts to comprehend the data or to extract any knowledge from it. To cope with this, as …
Enhancing Data Trustworthiness in Explorative Analysis: An Interactive Approach for Data Quality Monitoring
M Behringer, P Hirmer, A Villanueva, J Rapp… - SN Computer …, 2024 - Springer
The volume of data to be analyzed has increased tremendously in recent years. In order to
extract knowledge from this data, domain experts gain new insights with the help of …
extract knowledge from this data, domain experts gain new insights with the help of …
Einbindung von Domänenexperten in die interaktive Verfeinerung von Clustering-Resultaten
J Rapp - 2022 - elib.uni-stuttgart.de
Die heute verfügbare Datenmenge bietet für Unternehmen neue Möglichkeiten durch die
Datenanalyse, etwa zur Verbesserung von Geschäftsprozessen oder zur Erschließung …
Datenanalyse, etwa zur Verbesserung von Geschäftsprozessen oder zur Erschließung …